Bobadilla J.
21
Coauthors
7
Documentos
Volumen de publicaciones por año
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Año de publicación | Num. Publicaciones |
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2017 | 1 |
2018 | 3 |
2019 | 3 |
Publicaciones por áreas de conocimiento
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Área de conocimiento | Num. Publicaciones |
---|---|
Ciencias de la computación | 8 |
Aprendizaje automático | 6 |
Algoritmo | 1 |
Inteligencia artificial | 1 |
Tecnologías de la información y la comunicación | 1 |
Publicaciones por áreas temáticas
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Área temática | Num. Publicaciones |
---|---|
Funcionamiento de bibliotecas y archivos | 7 |
Métodos informáticos especiales | 3 |
Interacción social | 1 |
Ciencias de la computación | 1 |
Principales fuentes de datos
Origen | Num. Publicaciones |
---|---|
Scopus | 7 |
Google Scholar | 7 |
RRAAE | 0 |
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Coautores destacados por número de publicaciones
Coautor | Num. Publicaciones |
---|---|
Remigio Hurtado Ortiz | 5 |
Rodolfo Bojorque-Chasi | 4 |
Ortega F. | 4 |
Li X. | 2 |
Gutiérrez A. | 2 |
Priscila Valdiviezo-Diaz | 1 |
Zhu B. | 1 |
Patricio M.Á. | 1 |
Hernando A. | 1 |
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Top Keywords
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Publicaciones del autor
A hybrid approach of recommendation via extended matrix based on collaborative filtering with demographics information
Conference ObjectAbstract: In view of the growth in the use of methods based on matrix factorization, this research proposes anPalabras claves:COLLABORATIVE FILTERING, Demographic information, Extended matrix, matrix factorization, Recommender system, Sparse dataAutores:Bobadilla J., Priscila Valdiviezo-DiazFuentes:googlescopusAn efficient recommender system method based on the numerical relevances and the non-numerical structures of the ratings
ArticleAbstract: In this paper, we propose a collaborative filtering method designed to improve the current memory-baPalabras claves:COLLABORATIVE FILTERING, model-based methods, pbkp_rediction time, performance, recommender systems, Similarity MeasuresAutores:Bobadilla J., Ortega F., Remigio Hurtado Ortiz, Zhu B.Fuentes:googlescopusAnalysis of scientific production based on trending research topics. An Artificial Intelligence case study
ArticleAbstract: Scientific documentation research leads to the computation of large amounts of information from publPalabras claves:Artificial intelligence trends, Data Mining, Machine learning, Natural Language processing, Research topics, Scientific documentation, Scientific production, SCOPUSAutores:Bobadilla J., Gutiérrez A., Patricio M.Á., Rodolfo Bojorque-ChasiFuentes:googlescopusRecommendation to Groups of Users Using the Singularities Concept
ArticleAbstract: Recommendation to a group of users is a big challenge for collaborative filtering. The recommendatioPalabras claves:COLLABORATIVE FILTERING, group of users, Recommendation to groups, recommender systems, SingularityAutores:Bobadilla J., Ortega F., Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:googlescopusRecommender systems clustering using Bayesian non negative matrix factorization
ArticleAbstract: Recommender Systems present a high-level of sparsity in their ratings matrices. The collaborative fiPalabras claves:Bayesian NMF, COLLABORATIVE FILTERING, Hard clustering, matrix factorization, Pre-clustering, recommender systems, Sparse dataAutores:Bobadilla J., Hernando A., Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:googlescopus